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Abstract Meaning Representation 3.0 - Machine Translations

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DataCite Commons2025-06-03 更新2025-04-16 收录
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https://catalog.ldc.upenn.edu/LDC2024T11
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<h3>Introduction</h3> <p>Abstract Meaning Representation&nbsp; 3.0 - Machine Translations was developed by the <a href="https://www.arts.kuleuven.be/ling/ccl">Center for Computational Linguistics at KU Leuven</a>&nbsp;in the&nbsp;<a href="https://research-and-innovation.ec.europa.eu/funding/funding-opportunities/funding-programmes-and-open-calls/horizon-2020_en">HORIZON2020</a>&nbsp;project&nbsp;<a href="https://cordis.europa.eu/project/id/101017255">SignON</a>. It is an automatic translation of a subset of sentences from&nbsp;<a href="../../../LDC2020T02">Abstract Meaning Representation (AMR) Annotation Release 3.0 (LDC2020T02)</a>&nbsp;into Spanish, Irish Gaelic, and Dutch.</p> <p>AMR 3.0 is a semantic treebank of over 59,255 English natural language sentences from broadcast conversations, newswire, weblogs, web discussion forums, fiction and web text.</p> <h3>Data</h3> <p>The source sentences were drawn from material collected by the Linguistic Data Consortium, specifically, discussion forum text from the DARPA BOLT and DARPA DEFT programs, transcripts and English translations of Mandarin Chinese broadcast news programming, Wall Street Journal text, translated Xinhua news texts, various newswire texts from NIST OpenMT evaluations and weblog data from the DARPA GALE program.</p> <p>AMR 3.0 training, development and test splits were translated into Spanish, Irish Gaelic, and Dutch using&nbsp;<a href="https://translate.google.com">Google Translate</a>. "Unsplit" directories were not translated and are not included in this release. Translations were not manually verified, but formal issues (such as unexpected new lines) were corrected, and special tokens and encoding issues were fixed with the Python tool <a href="https://ftfy.readthedocs.io/en/latest/">ftfy.fix_text</a>.</p> <p>Data is presented in UTF-8 encoded txt files in&nbsp;<a href="https://github.com/goodmami/penman?tab=readme-ov-file">PENMAN</a>&nbsp;format.</p> <h3>Samples</h3> <p>Please view this <a href="desc/addenda/LDC2024T11.txt" target="_blank" rel="noopener">text sample (TXT)</a>.</p> <h3>Updates</h3> <p>None at this time.</p> <p>&nbsp;</p>
提供机构:
Linguistic Data Consortium
创建时间:
2024-11-15
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